Inicio  /  Applied Sciences  /  Vol: 13 Par: 8 (2023)  /  Artículo
ARTÍCULO
TITULO

On the Use of Transformer-Based Models for Intent Detection Using Clustering Algorithms

André Moura    
Pedro Lima    
Fábio Mendonça    
Sheikh Shanawaz Mostafa and Fernando Morgado-Dias    

Resumen

This article assesses different text representations for labeling unmarked dialog data, which can be applied to identify user intents directly relevant to dialog systems.

 Artículos similares

       
 
Dominik Wunderlich, Daniel Bernau, Francesco Aldà, Javier Parra-Arnau and Thorsten Strufe    
Hierarchical text classification consists of classifying text documents into a hierarchy of classes and sub-classes. Although Artificial Neural Networks have proved useful to perform this task, unfortunately, they can leak training data information to ad... ver más
Revista: Applied Sciences

 
Marco Siino, Elisa Di Nuovo, Ilenia Tinnirello and Marco La Cascia    
Guided by a corpus linguistics approach, in this article we present a comparative evaluation of State-of-the-Art (SotA) models, with a special focus on Transformers, to address the task of Fake News Spreaders (i.e., users that share Fake News) detection.... ver más
Revista: Information

 
Samuel Kierszbaum, Thierry Klein and Laurent Lapasset    
We consider the problem of solving Natural Language Understanding (NLU) tasks characterized by domain-specific data. An effective approach consists of pre-training Transformer-based language models from scratch using domain-specific data before fine-tuni... ver más
Revista: Aerospace

 
Panagiotis Kasnesis, Lazaros Toumanidis and Charalampos Z. Patrikakis    
The widespread use of social networks has brought to the foreground a very important issue, the veracity of the information circulating within them. Many natural language processing methods have been proposed in the past to assess a post?s content with r... ver más
Revista: Information

 
Xintong Wang and Chuangang Zhao    
Recent research shows recurrent neural network-Transducer (RNN-T) architecture has become a mainstream approach for streaming speech recognition. In this work, we investigate the VGG2 network as the input layer to the RNN-T in streaming speech recognitio... ver más
Revista: Information